Timo Elliott
DECEMBER 14, 2022
The industry analysts all have a similar vision of what that agile future of business looks like. Most innovation platforms make you rip the data out of your existing applications and move it to some another environment—a data warehouse, or data lake, or data lake house or data cloud—before you can do any innovation.
Sisense
JANUARY 1, 2020
5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company. That means you need to put all that data somewhere. Chances are it’s in a data warehouse, and even better money says it’s an AWS data warehouse. Yes — digital transformation.
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Domo
OCTOBER 22, 2021
Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access. What is a data fabric?
Tableau
MARCH 9, 2021
Tableau executives discussed our vision, strategy, and specific areas of focus globally and by Theater that we can together best support our mutual customers and community. Snowflake enables customers to store and analyze data efficiently—giving them the ability to scale their data warehouse up and down with demands.
Sisense
DECEMBER 23, 2019
AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. The right data and analytics platform can help you bridge the gap between your current AI and analytics paradigm and where you want your company to be in the future. . It’s the future.
Tableau
MARCH 9, 2021
Tableau executives discussed our vision, strategy, and specific areas of focus globally and by Theater that we can together best support our mutual customers and community. Snowflake enables customers to store and analyze data efficiently—giving them the ability to scale their data warehouse up and down with demands.
Insight Software
APRIL 19, 2021
This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.
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